| Summary: | 碩士 === 國立臺灣大學 === 工業工程學研究所 === 100 === In modern power distribution utilities, there is a growing demand for an improved system response in case of outages. In order to address that demand, automatic line switches can be installed in distribution networks to reduce the number and durations of power interruptions. However, automatic switching devices involve an increased investment cost. For distribution utilities, obtaining a high level of reliability at a relatively low cost becomes a multi-objective optimization problem. To solve the problem, a computational procedure based on Elitist Nondominated Sorting Genetic Algorithm (NSGA-II) is developed in the present study. Following the proposed methodology, we are able to obtain a set of optimal trade-off solutions identifying the number and placement of automatic switches in a distribution network for which we can obtain the most reliability benefit out of the utility investment. To determine the effectiveness of the procedure, two case studies were carried out. For comparison purposes, one of the cases corresponds to a previous study of an actual distribution system belonging to Taipower Company. The result of both tests indicates the improvement in system reliability indices due to the addition of a certain degree of automation investment in the distribution network, and demonstrates the present methodology is able to satisfy the system requirements in a better way than the mentioned previous study.
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